Haoliang Wang

Postdoc @MITCoCoSci studying intuitive physics.

[Haoliang Wang @wang_haoliang]

A big thank you to my co-authors: @GothoskarNishad, @MITCoCoSci and @realkevinsmith, see us at #CogSci2025 @cogsci_soc!

[Haoliang Wang @wang_haoliang]

Can you tell if a tower will fall or if two objects will collide — just by looking? 🧠👀 Come check out my #CogSci2025 poster (P1-W-207) on July 31, 13:00��14:15 PT to learn how people do general-purpose physical reasoning from visual input!

[Haoliang Wang @wang_haoliang]

In ongoing work, we are exploring ways to incorporate more physics knowledge into the inverse-graphics framework to model people’s inference about physical properties, object’s motion under occlusion, etc.

[Vivian Paulun @PaulunVivian]

I’m excited to share that I will join @UWPsych as an Assistant Professor starting in Fall 2025. 🎇🥳
I feel incredibly fortunate to join such a wonderful department and to have the opportunity to start my own lab!  (1/2)

[Haoliang Wang @wang_haoliang]

We'll be presenting this work at #CogSci2022 @cogsci_soc in P5 - Language processing, representation, and use! (July 29, 10:20 - 12:00 ET, P5-25).

paper: https://t.co/Ze26uxmTLq
code: https://t.co/dOJ25S4ffV

[Haoliang Wang @wang_haoliang]

Do you still remember how your tennis coach taught you to play when you were a kid? Excited to present our paper on how people communicate about their understanding of physical dynamics in natural language! w/ @jane_yt_yang, @rtk254, and @judyefan (see us at #CogSci2022!)

[Haoliang Wang @wang_haoliang]

In ongoing work, we are continuing to explore what kind of language is associated with faster learning in other participants who haven’t played the game before.

[Haoliang Wang @wang_haoliang]

Come by my #CogSci2022 @cogsci_soc poster in P2 - Number, cause, perception, emotion, space, and time to learn more! (July 28, 13:00 - 14:40 ET, P2-26).

code: https://t.co/WbgV4L1kGI

[Haoliang Wang @wang_haoliang]

Golfers can play even on windy days! How do people make physical predictions about how objects will behave even in novel situations? Check out our new paper exploring this question w/ @KelseyRAllen, @EdVul and @judyefan! (see us at #CogSci2022!)

paper: https://t.co/xJdUY2s4V8

[Haoliang Wang @wang_haoliang]

People are continually challenged to predict how objects will behave in novel settings. We’re excited about this work contributing to our understanding of the cognitive mechanisms that support such generalization!